module guide space sciences and technologies (m.sc.) · ocean and cryosphere, 6 cp rf fr te ddev...
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Module guide
Space Sciences and Technologies (M.Sc.)
This module guide details the contents of the master programme Space Sciencesand Technologies for informational purposes. Binding rules are set out by the specificexamination regulations.
Druckdatum: 11.10.2019
Course of Studies: Master Programme Space Sciences and Technologies
Sem
este
r Pflichtbereich (Compulsory Modules) + Modul Masterarbeit (inkl. Kolloquium) insgesamt 96 CP
Project (12 CP)
Wahlpflichtbereich (Compulsory Elective Modules, 12 CP)
Wahlbereich (Elective Modules, 12 CP)
∑ 120 Verteilung CP/Se- mester
„Physics for Space Observation” (PSO) (Specialization)
„Information Technologies for Space“ (ITS) (Specialization)
PSO
ITS
1
Foundations (30 CP)
30
Inverse Methods and Data Analysis, 6 CP
Control Theory I, 3 CP
Space Electronics, 6 CP
Science and Exploration Missions, 3 CP
Atmospheric Physics, 6 CP
Communication Technologies, 6 CP
2
Remote Sensing and Communication (24 CP) Remote Sensing of Ocean and Cryosphere, 6 CP
RF Frontend Devices and Circuits, 4 CP
Elective Course, 9 CP
Elective Course, 3 CP
30
Channel Coding I, 3 CP
Sensors and Measurement Systems, 3 CP
Digital Image Processing, 3 CP
Architectures and Design Methodologies of Integrated Digital Systems, 4 CP
Space Lab, (3 von 6 CP)
Atmospheric Spectroscopy, 3 CP
Microfluidic Devices, 4 CP
3
Communica- tion Networks for Space, 3 CP
Space Lab, (Fortsetzung 3 von 6 CP)
Project, 12 CP
Atmospheric Chemistry Modeling,3 CP
Elective Course, 3 CP
Elective Course, 9 CP
30
Geodesy and Gravity, 3 CP
Atmospheric Aerosols, 3 CP
4 Master Thesis, 30 CP
30
CP = Credit Points
Table of contents
Overview classified by module groups
1. Foundations
The foundation modules are compulsory and cover 30 CP during semester 1.
AtPhy : Atmospheric Physics (6 CP, 4 SWS).............................................................................................. 5
CTh1 : Regelungstheorie I (Control Theory I) (3 CP, 3 SWS).....................................................................7
ComT : Communication Technologies (6 CP, 4 SWS)................................................................................ 9
IMDA : Inverse Methods and Data Analysis (6 CP, 4 SWS)..................................................................... 11
SEM : Science and Exploration Missions (3 CP, 2 SWS)......................................................................... 13
SpEl : Space Electronics (6 CP, 4 SWS)...................................................................................................15
2. Remote Sensing and Communication
The modules in Remote Sensing and Communication are compulsory; they are recommended forsemester 2 and 3.
AtSp : Atmospheric Spectroscopy (3 CP, 2 SWS).....................................................................................17
CCod1 : Channel Coding I (3 CP, 3 SWS)................................................................................................19
CNS : Communication Networks for Space (3 CP, 3 SWS)...................................................................... 21
DIP : Digital Image Processing (3 CP, 2 SWS)......................................................................................... 23
GG : Geodesy and Gravity (3 CP, 2 SWS)............................................................................................... 25
SAMS : Sensors and Measurement Systems (3 CP, 3 SWS)...................................................................27
LSPA : Space Lab (6 CP, 2 SWS)............................................................................................................ 29
3. Specialization Areas
Specialization Areas are: Physics for Space Observations (PSO) and Information Technologies for Space(ITS) The choice of a specialization and the respective modules are compulosry.
3. 1. Physics for Space Observation
These modules are compulsory if the specialization are of choice is Physics for Space Observation(PSO).
AtA : Atmospheric Aerosols (3 CP, 2 SWS)......................................................................................... 31
AtCM1 : Atmospheric Chemistry Modelling (3 CP, 2 SWS)..................................................................33
RSOC : Remote Sensing of Ocean and Cryosphere (6 CP, 4 SWS)...................................................35
3. 2. Information Technologies for Space
Table of contents
These modules are compulsory if the specialization area of choice is Information Technologies forSpace (ITS)
DIDS : Architekturen und Entwurfsmethodik integrierter digitaler Systeme (4 CP, 3 SWS)..................37
MiD : Microfluidic Devices (4 CP, 3 SWS)............................................................................................39
RFC : RF Frontend Devices and Circuits (4 CP, 3 SWS).................................................................... 41
4. Project & Master's Thesis Space-ST
PrSpa : Project (12 CP)............................................................................................................................. 43
ThsSpa : Masterarbeit (inkl. Kolloquium) (30 CP)..................................................................................... 44
5. Electives Space-ST
Electives can be chosen from this list of modules. Modules that are not listed here can be acknowledgedupon individual request to be addressed to the examination board.
BGC : Biogeochemistry (3 CP, 2 SWS).....................................................................................................45
Dyn1 : Dynamics I (6 CP, 4 SWS).............................................................................................................46
Eng E : Engineering Ethics (3 CP, 2 SWS)............................................................................................... 48
InS : Integrierte Schaltungen (Integrated Circuits) (3 CP, 3 SWS)............................................................ 50
04-M30-CEM-SFI-1 : On-Board Data Handling (3 CP, 3 SWS)................................................................ 52
PDAP : Practical Data Analysis with Python (3 CP, 2 SWS).....................................................................54
StEA : Statistics and Error Analysis (3 CP, 2 SWS)..................................................................................56
WCom : Wireless Communications (3 CP, 3 SWS)...................................................................................58
Table of contents
Alphabetical module list
01-01-03 AtA : Atmospheric Aerosols.............................................................................................................31
01-01-03 AtCM1 : Atmospheric Chemistry Modelling.....................................................................................33
01-01-03 AtPhy : Atmospheric Physics.............................................................................................................5
01-01-03 AtSp : Atmospheric Spectroscopy................................................................................................... 17
01-01-03 BGC : Biogeochemistry................................................................................................................... 45
01-01-03 DIP : Digital Image Processing....................................................................................................... 23
01-01-03 Dyn1 : Dynamics I........................................................................................................................... 46
01-01-03 IMDA : Inverse Methods and Data Analysis................................................................................... 11
01-01-03 PDAP : Practical Data Analysis with Python...................................................................................54
01-01-03 StEA : Statistics and Error Analysis................................................................................................ 56
01-15-03 CCod1 : Channel Coding I.............................................................................................................. 19
01-15-03 CTh1 : Regelungstheorie I (Control Theory I)...................................................................................7
01-15-03 ComT : Communication Technologies.............................................................................................. 9
01-15-03 DIDS : Architekturen und Entwurfsmethodik integrierter digitaler Systeme.....................................37
01-15-03 InS : Integrierte Schaltungen (Integrated Circuits).......................................................................... 50
01-15-03 MiD : Microfluidic Devices............................................................................................................... 39
01-15-03 RFC : RF Frontend Devices and Circuits........................................................................................41
01-15-03 SAMS : Sensors and Measurement Systems................................................................................. 27
01-15-03 WCom : Wireless Communications................................................................................................. 58
01-29-03 CNS : Communication Networks for Space.................................................................................... 21
01-29-03 Eng E : Engineering Ethics............................................................................................................. 48
01-29-03 GG : Geodesy and Gravity..............................................................................................................25
01-29-03 LSPA : Space Lab........................................................................................................................... 29
01-29-03 PrSpa : Project.................................................................................................................................43
01-29-03 RSOC : Remote Sensing of Ocean and Cryosphere......................................................................35
01-29-03 SEM : Science and Exploration Missions........................................................................................13
01-29-03 SpEl : Space Electronics................................................................................................................. 15
01-29-03 ThsSpa : Masterarbeit (inkl. Kolloquium)........................................................................................ 44
04-M30-CEM-SFI-1 : On-Board Data Handling.............................................................................................. 52
Module 01-01-03 AtPhy
Module 01-01-03 AtPhy: Atmospheric PhysicsAtmospheric PhysicsMPO 2014/2017
Module assignment:
• Foundations
Recommended content-related requirements:
none
Learning content:
The origin of the solar system and the earth’s atmosphere; the evolving atmospheric composition; the
physical parameters determining conditions in the atmosphere (e.g. temperature, pressure, and vorticity);
the laws describing electromagnetic radiation; the interaction between electromagnetic radiation and matter
(absorption emission and scattering); atmospheric radiative transport; radiation balance, climate change;
atmospheric thermodynamics and hydrological cycle; aerosols and cloud physics; an introduction into
atmospheric dynamics (kinematics, circulation etc.).
References:
• Houghton, J.T., The physics of atmospheres, Cambridge University Press, 1977, ISBN 0 521 29656 0.
• Wallace, John M. and Peter V. Hobbs, Atmospheric Science, An Introductory Survey, Academic
Press, 2nd Edition 2005, ISBN 0-12-732951-x
Learning outcome / Competence:
An adequate understanding of the fundamentals of atmospheric physics.
This addresses a) gaining an understanding the laws of physics, which determine the behaviour of the earth
system comprising the sun the atmosphere and earth surface, b) learning the ability to apply the laws of
physics to calculate parameters and forecast conditions in the atmosphere.
This knowledge is required for subsequent advanced courses in the M.Sc. programmes. In later life,
these learning outcomes are essential for undertaking a) research in atmospheric, environmental and
climate science Earth observation and remote sensing form ground based ship, aircraft and space based
instrumentation, b) being employment in earth observation, earth science, meteorology, industry, or
governmental and space agencies.
Calculating student workload:
The module comprises two courses: a lecture of 2 semester hours and an exercise of 2 semester hours.
Workload:
• Contact hours (lecture + exercise): 56 h (4 h x 14 weeks)
• Preparation, learning, examples: 56 h (4 h x 14 weeks)
• Preparation for exam: 68 h
Total working hours: 180 h
Language of tuition:
English
Module leader:
Prof. Dr. John P. Burrows FRS
Frequency:
WiSe, once a year
Duration:
1 semester[s]
The module is valid since:
WiSe 14/15
The module is valid until:
-
5
Module 01-01-03 AtPhy
Credit points / Workload:
6 / 180 hours
Contact hours:
4 hours
Module examinations
Type of examination: Studienleistung
Examination format:
Submodule examination
Successful participation in tutorials
Type of examination: PrüfungsIeistung
Examination format:
Submodule examination
Either a written or an oral examination
Module courses
Course: 01-01-03-AtPhy-V Lecture Atmospheric Physics
Frequency:
WiSe, once a year
Are there parallel courses?
no
Language:
English
University teacher(s):
Burrows FRS, John P., Prof. Dr.
Teaching method(s):
Lecture
Associated module examination:
PrüfungsIeistung
Course: 01-01-03-AtPhy-Ü Tutorial Atmospheric Physics
Frequency:
WiSe, once a year
Are there parallel courses?
no
Language:
English
University teacher(s):
Burrows FRS, John P., Prof. Dr.
Teaching method(s):
Tutorial
Associated module examination:
Studienleistung
6
Module 01-15-03 CTh1
Module 01-15-03 CTh1: Regelungstheorie I (Control Theory I)Control Theory IMPO 2017
Module assignment:
• Foundations
Recommended content-related requirements:
Lecture „Grundlagen der Regelungstechnik“ or
equivalent knowledge about basics of control (bode
diagrams, nyquist plots, nyquist stability criterion,
PID controller design)
Learning content:
• Definition and features of state variables
• State space description of linear systems
• Normal forms
• Coordinate transformation
• General solution of a linear state space equation
• Lyapunov stability
• Controllability and observability
• Concept of state space control
• Steady-state accuracy of state space controllers
• Observer
• Controller design by pole placement
• Riccati controller design
• Falb-Wolovitch controller design
A list of references will be provided at the start of the semester.
Learning outcome / Competence:
Understanding and handling of state space methodology. Design of state space controllers with different
methods, observer design.
Calculating student workload:
The module comprises two courses: a lecture of 2 semester hours and an exercise of 1 semester hour.
Workload:
• Contact hours (lecture + exercise): 42 h (3 h x 14 weeks)
• Preparation, learning, exercises: 28 h (2 h x 14 weeks)
• Preparation for exam: 50 h
Total working hours: 120 h
Language of tuition:
English
Module leader:
Prof. Dr.-Ing. Kai Michels
Frequency:
WiSe, once a year
Duration:
1 semester[s]
The module is valid since:
WiSe 17/18
The module is valid until:
-
7
Module 01-15-03 CTh1
Credit points / Workload:
3 / 90 hours
Contact hours:
3 hours
Module examinations
Type of examination: Modulprüfung
Examination format:
Announcement at the begin of the semester
Oral or written
Module courses
Course: 01-15-03-ChT1-V Lecture: Control Theory I
Frequency:
WiSe, once a year
Are there parallel courses?
no
Language:
English
University teacher(s):
Michels, Kai, Prof. Dr.-Ing.
Teaching method(s): Associated module examination:
Course: 01-15-03-ChT1-Ü Exercise: Control Theory I
Frequency:
WiSe, once a year
Are there parallel courses?
no
Language:
English
University teacher(s):
Michels, Kai, Prof. Dr.-Ing.
Teaching method(s): Associated module examination:
8
Module 01-15-03 ComT
Module 01-15-03 ComT: Communication TechnologiesCommunication TechnologiesMPO 2017
Module assignment:
• Foundations
Recommended content-related requirements:
Basics in linear algebra, calculus, differential
equations, fourier transformation and physics (basics
in electromagnetic waves) are recommended.
Learning content:
• Introduction to communications: history of wireless communication and space communication
• Basic concepts and terminology in communications
• Recap of Fourier transformation
• Introduction to system theory (signals, linear time invariant systems, convolution, statistic process,
etc.)
• Passband-Baseband transformation and receiver concepts
• Wireless channel basics (linear and non-linear distortions, noise, Nyquist, etc.)
• Analog modulation
• Basics in sampling theory and discrete systems and signals
• Digital modulation
Learning outcome / Competence:
As outcome, the students should be able to:
• Explain basic communications concepts and theoretical foundations;
• Apply mathematical tools and concepts relevant in communictions;
• Explain and apply analog and digital modulation.
Calculating student workload:
The module comprises two courses: a lecture of 2 semester hours and an exercise of 2 semester hours.
Workload:
• Contact hours (lecture + exercise): 56 h (4 h x 14 weeks)
• Preparation, learning, exercises: 56 h (4 h x 14 weeks)
• Preparation for exam: 68 h
Total working hours: 180 h
Language of tuition:
English
Module leader:
Prof.Dr.-Ing. Armin Dekorsy
Frequency:
WiSe, once a year
Duration:
1 semester[s]
The module is valid since:
WiSe 17/18
The module is valid until:
-
Credit points / Workload:
6 / 180 hours
Contact hours:
4 hours
9
Module 01-15-03 ComT
Module examinations
Type of examination: Modulprüfung
Examination format:
Written examination
90 min.
Module courses
Course: 01-29-03-ComT-V Lecture Communication
Technologies
Frequency:
WiSe, once a year
Are there parallel courses?
no
Language:
English
University teacher(s):
Bockelmann, Carsten, Dr.-Ing.
Teaching method(s): Associated module examination:
Course: 01-29-03-ComT-Ü Exercise Communication
Technologies
Frequency:
WiSe, once a year
Are there parallel courses?
no
Language:
English
University teacher(s):
Bockelmann, Carsten, Dr.-Ing.
Teaching method(s): Associated module examination:
10
Module 01-01-03 IMDA
Module 01-01-03 IMDA: Inverse Methods and Data AnalysisInverse Methods and Data AnalysisMPO 2014/2017
Module assignment:
• Foundations
Recommended content-related requirements:
none
Learning content:
Error analysis and statistics, techniques for the optimal solution of under and over determined systems of
linear equations including methods for calculating variances and covariances of the solutions, concepts
of resolution and methods to calculate them, practical examples and applications to test data sets from
oceanography, image processing and remote sensing of the atmosphere, earth, outer space, and celestial
bodies.
Learning outcome / Competence:
Basic knowledge in linear inverse methods
Calculating student workload:
The module comprises two courses: a lecture of 2 semester hours and an exercise of 2 semester hours.
Workload:
• Contact hours (lecture + exercise): 56 h (4 h x 14 weeks)
• Preparation, learning, exercises: 56 h (4 h x 14 weeks)
• Preparation for exam: 68 h
Total working hours: 180 h
Language of tuition:
English
Module leader:
apl. Prof. Reiner Schlitzer
Frequency:
WiSe, once a year
Duration:
1 semester[s]
The module is valid since:
WiSe 14/15
The module is valid until:
-
Credit points / Workload:
6 / 180 hours
Contact hours:
4 hours
Module examinations
Type of examination: Prüfungsleistung
Examination format:
Submodule examination
Written or oral examination
Type of examination: Studienleistung
Examination format:
Submodule examination
Course performance: Successful assessment of
example classes
11
Module 01-01-03 IMDA
Module courses
Course: 01-01-03-IMDA-Ü Tutorial
Frequency:
WiSe, once a year
Are there parallel courses?
no
Language:
English
University teacher(s):
Schlitzer, Reiner, apl. Prof.
King, Emily Jeannette, Prof. Dr.
Teaching method(s):
Tutorial
Associated module examination:
Studienleistung
Course: 01-01-03-IMDA-V Lecture
Frequency:
WiSe, once a year
Are there parallel courses?
no
Language:
English
University teacher(s):
Schlitzer, Reiner, apl. Prof.
King, Emily Jeannette, Prof. Dr.
Teaching method(s):
Lecture
Associated module examination:
Prüfungsleistung
12
Module 01-29-03 SEM
Module 01-29-03 SEM: Science and Exploration MissionsScience and Exploration MissionsMPO 2017
Module assignment:
• Foundations
Recommended content-related requirements:
Basic courses in Physics on mechanics,
electrodynamics, quantum mechanics.
Learning content:
Introduction to completed and planned space missions,
Examples are (i) Gravity Probe A for testing the gravitational redshift, (ii) Gravity Probe B for testing the
gravitomagnetic Schiff effect, (iii) Cassini for Saturn exploration and testing the gravitational time delay, (iv)
Pioneer for planetary exploration and testing the gravitational field in the Solar system, (v) MICROSCOPE
for testing the Equivalence Principle, (vi) LISA for searching for gravitational waves and the technology
mission LISA pathfinder, (vii) GRACE and GRACE-FO for satellite based geodesy, (viii) ACES on the
ISS for testing relativity and establishing space-based metrology, (ix) further missions testing Special and
General Relativity using quantum optics, (x) asteroid and comet missions HAYABUSA and Rosetta.
For each mission the requirements on the payload technology, the spacecraft technology, and on the
mission scenario will be derived.
A list of references will be provided at the start of the semester.
Learning outcome / Competence:
Participants are able to discuss science cases for space and exploration missions, measurement schemes
and payload as well as technology requirements on payload and mission.
Calculating student workload:
The module comprises one lecture of 2 semester hours:
• Contact hours (lecture): 28 h (2 h x 14 weeks)
• Preparation, learning, exercises: 42 h (3 h x 14 weeks)
• Preparation for exam: 20 h
Total working hours: 90 h
Language of tuition:
English
Module leader:
Prof. Dr. rer. nat. Claus Lämmerzahl
Frequency:
WiSe, once a year
Duration:
1 semester[s]
The module is valid since:
WiSe 17/18
The module is valid until:
-
Credit points / Workload:
3 / 90 hours
Contact hours:
2 hours
13
Module 01-29-03 SEM
Module examinations
Type of examination: Prüfungsleistung
Examination format:
Submodule examination
Written or oral examination
Type of examination: Studienleistung
Examination format:
Submodule examination
Course performance (exercises)
Module courses
Course: 01-29-03-SEM-V Lecture and exercise: Science and
Exploration Missions
Frequency:
WiSe, once a year
Are there parallel courses?
no
Language:
English
University teacher(s):
Lämmerzahl, Claus, Prof. Dr. rer. nat.
Teaching method(s): Associated module examination:
14
Module 01-29-03 SpEl
Module 01-29-03 SpEl: Space ElectronicsSpace ElectronicsMPO 2017
Module assignment:
• Foundations
Recommended content-related requirements:
Basic knowledge of semiconductors, analog and
digital circuits
Learning content:
• Radiation environments
• MOS Device and radiation
• Circuit Reliability basics
• Single event effects on analog and digital circuits, memories
• Displacement damage (DD) effects
• Radiation hard device technologies and circuit design
• Noise
• gm/Id Method
• Mismatch
• Two pole opamps (OTA)
• Feedback
Learning outcome / Competence:
After this course, students are able to:
• describe and characterize noise in electronics circuits,
• apply the gm/Id sizing method to design amplifier circuits for advance CMOS technologies,
• deal with process variations and mismatch,
• understand the frequency behaviour of amplifier circuits,
• understand and size compensation networks,
• use feedback to modify circuit characteristics,
• understand the impact of radiation on the behavior of circuits,
• design radiation hard circuits.
Calculating student workload:
The module comprises two courses: a lecture of 2 semester hours and an exercise of 2 semester hours.
Workload:
• Contact hours (lecture + exercise): 56 h (4 h x 14 weeks)
• Preparation, learning, examples: 56 h (4 h x 14 weeks)
• Preparation for exam: 68 h
Total working hours: 180 h
Language of tuition:
English
Module leader:
Prof. Dr.-Ing. Alberto Garcia-Ortiz
Frequency:
WiSe, once a year
Duration:
1 semester[s]
15
Module 01-29-03 SpEl
The module is valid since:
WiSe 17/18
The module is valid until:
-
Credit points / Workload:
6 / 180 hours
Contact hours:
4 hours
Module examinations
Type of examination: Studienleistung
Examination format:
Submodule examination
Course performance: Successful assessment of
exercise classes
Type of examination: Prüfungsleistung
Examination format:
Submodule examination
Written/oral examination
Module courses
Course: 01-29-03-SpEl-V Lecture Space Electronics
Frequency:
WiSe, once a year
Are there parallel courses?
no
Language:
English
University teacher(s):
Garcia-Ortiz, Alberto, Prof. Dr.-Ing.
Teaching method(s): Associated module examination:
Course: 01-29-03-SpEl-Ü Tutorial Space Electronics
Frequency:
WiSe, once a year
Are there parallel courses?
no
Language:
English
University teacher(s):
Garcia-Ortiz, Alberto, Prof. Dr.-Ing.
Teaching method(s): Associated module examination:
16
Module 01-01-03 AtSp
Module 01-01-03 AtSp: Atmospheric SpectroscopyAtmospheric SpectroscopyMPO v. 05.04.2017
Module assignment:
• Remote Sensing and Communication
Recommended content-related requirements:
none
Learning content:
• Prism and grating spectrometers
• Fourier-Transform-Spectroscopy
• Transitions
• Rotational spectra
• Vibrational spectra
• Rotational-vibrational spectra
• Remote sensing methods
Learning outcome / Competence:
Basics of spectroscopy, basics of molecular spectroscopy. Understanding and interpretation of measured
spectra with regard to the structure of the molecules. Basics of prism, grating and FTIR-spectroscopy,
understanding of remote sensing methods.
Calculating student workload:
The module comprises two courses: a lecture of 1 semester hours and an exercise of 1 semester hour.
Workload:
• Contact hours (lecture + exercise): 28 h (2 h x 14 weeks)
• Preparation, learning, exercises: 28 h (2 h x 14 weeks)
• Preparation for exam: 34 h
Total working hours: 90 h
Language of tuition:
English
Module leader:
Prof. Dr. rer.nat. Justus Notholt
Frequency:
SoSe, once a year
Duration:
1 semester[s]
The module is valid since:
WiSe 17/18
The module is valid until:
-
Credit points / Workload:
3 / 90 hours
Contact hours:
2 hours
Module examinations
Type of examination: Studienleistung
Examination format:
Submodule examination
Course performance: Successful assessment of
example classes and/or successful writing of an
essay
17
Module 01-01-03 AtSp
Type of examination: Prüfungsleistung
Examination format:
Submodule examination
Written or oral examination
18
Module 01-15-03 CCod1
Module 01-15-03 CCod1: Channel Coding IChannel Coding IMPO 2017
Module assignment:
• Remote Sensing and Communication
Recommended content-related requirements:
Basics of communication technology and digital
signal processing
Learning content:
1) Basic Concepts and channel models
2) Information theory
3) Linear block codes:
• Generator and parity check matrix
• Standard array and syndrome decoding
• Examples (SPC, Hamming, Simplex),
• Cyclic Codes (description by polynomials),
• Examples (CRC, BCH, Reed-Solomon),
4) Convolutional codes:
• Encoder structure and graphical representations
• Viterbi decoding
• Code properties
The practical application of teaching contents is developed by Matlab excercises.
Learning outcome / Competence:
Channel Coding I is a one-semester course. The aim is to provide a basic understanding how channel
coding works and to present the most important code families. Moreover, results obtained from information
theory show the ultimate limits theoretically achievable with optimal codes. After this course, the students
should be able to:
• Explain the principle of channel coding,
• Explain the ultimate limits from information theory,
• Perform encoding and decoding for linear block and convolutional codes,
• Grade the performance of different codes.
Calculating student workload:
The module comprises two courses: a lecture of 2 semester hours and an exercise of 1 semester hour.
Workload:
• Contact hours (lecture + exercise): 42 h (3 h x 14 weeks)
• Preparation, learning, exercises: 28 h (2 h x 14 weeks)
• Preparation for exam: 20 h
Total working hours: 90 h
Language of tuition:
English
Module leader:
Dr.-Ing. Dirk Wübben
19
Module 01-15-03 CCod1
Frequency:
SoSe, once a year
Duration:
1 semester[s]
The module is valid since:
WiSe 17/18
The module is valid until:
-
Credit points / Workload:
3 / 90 hours
Contact hours:
3 hours
Module examinations
Type of examination: Modulprüfung
Examination format:
Announcement at the begin of the semester
Module courses
Course: 01-03-15-CCod1-V Lecture Channel Coding I
Frequency:
SoSe, once a year
Are there parallel courses?
no
Language:
German / English
University teacher(s):
Wübben, Dirk, Dr.-Ing.
Teaching method(s): Associated module examination:
Course: 01-15-03-CCod1-Ü Tutorial Channel Coding I
Frequency:
SoSe, once a year
Are there parallel courses?
no
Language:
German / English
University teacher(s):
Wübben, Dirk, Dr.-Ing.
Teaching method(s): Associated module examination:
20
Module 01-29-03 CNS
Module 01-29-03 CNS: Communication Networks for SpaceCommunication Networks for SpaceMPO 2017
Module assignment:
• Remote Sensing and Communication
Recommended content-related requirements:
none
Learning content:
Distributed Systems, ISO/OSI 7 Layer Reference Model for Open Communication, Formal Specification
Methods for Protocols (SDL), Data Link Layer, Network Layer, Transport Layer, Application Oriented
Layers, Local Area Networks, Wide Area Networks, Network Control: (virtual) connections, Routing,
Addressing, Flow Control, System Examples: TCP/IP, Wireless LAN, opportunistic and delay-tolerant
networks.
References:
• Walrand, J.: Communication Networks, A first course, WCB/McGraw-Hill 1998, ISBN 0-256-17404-0.
• Tanenbaum, A.S.: Computer Networks, Prentice Hall 1996, ISBN 0-13 349945-6 (and newer editions).
• Ross/Kurose, Computer Networking: A Top Down Approach, 4th ed., Addison-Wesley, July 2007.
Learning outcome / Competence:
The participants are able to describe exemplary systems of communication networks, name and explain the
layers of a communication network, know the basic technologies used for communication protocols, know
basic error handling mechanisms for communication protocols.
Calculating student workload:
The module comprises two courses: a lecture of 2 semester hours and an exercise of 1 semester hour.
Workload:
• Attendance (lecture + exercise): 42 h (3 h x 14 weeks)
• Preparation, learning, exercises: 28 h (2 h x 14 weeks)
• Preparation for exam: 20 h
Total working hours: 90 h
Language of tuition:
English
Module leader:
Prof. Dr. Anna Förster
Frequency:
WiSe, once a year
Duration:
1 semester[s]
The module is valid since:
WiSe 17/18
The module is valid until:
-
Credit points / Workload:
3 / 90 hours
Contact hours:
3 hours
21
Module 01-29-03 CNS
Module examinations
Type of examination: Studienleistung
Examination format:
Submodule examination
Course performance: Successful assessment of
homework assignments and a successful poster
preparation and presentation
Type of examination: Prüfungsleistung
Examination format:
Submodule examination
Poster presentation graded
Module courses
Course: 01-15-03-CNS-V Lecture Communication Networks:
Systems
Frequency:
WiSe, once a year
Are there parallel courses?
no
Language:
English
University teacher(s):
Könsgen, Andreas, Dr.
Förster, Anna, Prof. Dr.
Teaching method(s): Associated module examination:
Course: 01-15-03-CNS-Ü Exercise Communication Networks:
Systems
Frequency:
WiSe, once a year
Are there parallel courses?
no
Language:
English
University teacher(s):
Könsgen, Andreas, Dr.
Förster, Anna, Prof. Dr.
Teaching method(s): Associated module examination:
22
Module 01-01-03 DIP
Module 01-01-03 DIP: Digital Image ProcessingDigital Image ProcessingMPO 2014/2017
Module assignment:
• Remote Sensing and Communication
Recommended content-related requirements:
none
Learning content:
• Digital image, sampling
• Image enhancement using filters
• Image analysis methods using segmentation, feature extraction and classification
• Fourier transformation of digital image, linear filters in spatial and frequency domains
• Data compression
Learning outcome / Competence:
Fundamentals of digital image processing
Calculating student workload:
The module comprises two courses: a lecture of 1 semester hour and an exercise of 1 semester hour.
Workload:
• Contact hours (lecture + exercise): 28 h (2 h x 14 weeks)
• Preparation, learning, exercises: 28 h (2 h x 14 weeks)
• Preparation for exam: 34 h
Total working hours: 90 h
Language of tuition:
English
Module leader:
Dr. Christian Melsheimer
Frequency:
SoSe, once a year
Duration:
1 semester[s]
The module is valid since:
WiSe 14/15
The module is valid until:
-
Credit points / Workload:
3 / 90 hours
Contact hours:
2 hours
Module examinations
Type of examination: Studienleistung
Examination format:
Submodule examination
Course performance: Successful assessment of
example classes and/or successful writing of an
essay
Type of examination: PrüfungsIeistung
Examination format:
Announcement at the begin of the semester
Written/oral examination
23
Module 01-01-03 DIP
Module courses
Course: 01-01-03-DIP-V Lecture Digital Image Processing
Frequency:
SoSe, once a year
Are there parallel courses?
no
Language:
English
University teacher(s):
Melsheimer, Christian, Dr.
Teaching method(s):
Lecture
Associated module examination:
PrüfungsIeistung
Course: 01-01-03-DIP-Ü Tutorial Digital Image Processing
Frequency:
SoSe, once a year
Are there parallel courses?
no
Language:
English
University teacher(s):
Melsheimer, Christian, Dr.
Teaching method(s):
Tutorial
Associated module examination:
Studienleistung
24
Module 01-29-03 GG
Module 01-29-03 GG: Geodesy and GravityGeodesy and GravityMPO v. 05.04.2017
Module assignment:
• Remote Sensing and Communication
Recommended content-related requirements:
none
Learning content:
Classical geodesy
• Repetition of Newtonian gravitational theory
• Multipole moments of the Earth and the gravitational field of the Earth
• Definition of the geoid on the rotating Earth
• Equation of motion for satellites
• Calculation of satellite orbits
• Description of orbits for satellite formation flight and extraction of the gravitational field
Relativistic geodesy
• Elements of relativistic gravity theory
• Post-Newtonian solution for the gravitational field of the Earth
• Definition of the geoid
• Clocks in the gravitational field: clock geodesy
• Relativistic satellite orbits, basic effects
Learning outcome / Competence:
The students gain knowledge of notions of nonrelativistic gravity theory, knowledge of basic notions of
geodesy, an understanding of methods to measure the gravitational fields, knowledge of basic principles of
relativistic gravity and an understanding of clock geodesy.
Calculating student workload:
The module comprises two courses: a lecture of 1 semester hours and an exercise of 1 semester hour.
Workload:
• Contact hours (lecture + exercise): 28 h (2 h x 14 weeks)
• Preparation, learning, exercises: 42 h (3 h x 14 weeks)
• Preparation for exam: 20 h
Total working hours: 90 h
Language of tuition:
English
Module leader:
Prof. Dr. rer. nat. Claus Lämmerzahl
Frequency:
WiSe, once a year
Duration:
1 semester[s]
The module is valid since:
WiSe 17/18
The module is valid until:
-
Credit points / Workload:
3 / 90 hours
Contact hours:
2 hours
25
Module 01-29-03 GG
Module examinations
Type of examination: Studienleistung
Examination format:
Submodule examination
Course performance: Successful assessment of
exercise classes and/or successful writing of an
essay
Type of examination: Prüfungsleistung
Examination format:
Submodule examination
Written/oral examination
Module courses
Course: 01-29-03-GG-V Geodesy and Gavity
Frequency:
WiSe, once a year
Are there parallel courses?
no
Language:
English
University teacher(s):
Lämmerzahl, Claus, Prof. Dr. rer. nat.
Teaching method(s): Associated module examination:
26
Module 01-15-03 SAMS
Module 01-15-03 SAMS: Sensors and Measurement SystemsSensors and Measurement SystemsMPO 2017
Module assignment:
• Remote Sensing and Communication
Recommended content-related requirements:
Basics of electrical engineering and electrical
measurement are recommended.
Learning content:
• Basics of Sensors
• Thermal Sensors
• Sensor Technology
• Force and Pressure Sensors
• Inertial Sensors
• Magnetic Sensors
• Flow Sensors
References:
• Walter Lang: Sensors and Measurement systems, ISBN-10: 877022028X
Learning outcome / Competence:
After this course, students should be able to:
• Name and explain important sensors,
• Apply characterization parameters for sensors,
• Choose sensors for a given application and apply them,
• Understand micromachining technologies for sensors.
Calculating student workload:
The module comprises two courses: a lecture of 2 semester hours and an exercise of 1 semester hour.
Workload:
• Contact hours (lecture + exercise): 42 h (3 h x 14 weeks)
• Preparation, learning, exercises: 28 h (2 h x 14 weeks)
• Preparation for exam: 20 h
Total working hours: 90 h
Language of tuition:
English
Module leader:
Prof. Dr.-Ing. Walter Lang
Frequency:
SoSe, once a year
Duration:
1 semester[s]
The module is valid since:
WiSe 17/18
The module is valid until:
-
Credit points / Workload:
3 / 90 hours
Contact hours:
3 hours
27
Module 01-15-03 SAMS
Module examinations
Type of examination: Modulprüfung
Examination format:
Written examination
Written examination
Module courses
Course: 01-15-03-SAMS-V Lecture Sensors and
Measurement Systems
Frequency:
SoSe, once a year
Are there parallel courses?
no
Language:
English
University teacher(s):
Lang, Walter, Prof. Dr.-Ing.
Teaching method(s): Associated module examination:
Course: 01-15-03-SAMS-Ü Tutorial Sensors and
Measurement Systems
Frequency:
SoSe, once a year
Are there parallel courses?
no
Language:
English
University teacher(s):
Lang, Walter, Prof. Dr.-Ing.
Teaching method(s): Associated module examination:
28
Module 01-29-03 LSPA
Module 01-29-03 LSPA: Space LabSpace LabMPO v. 05.04.2017
Module assignment:
• Remote Sensing and Communication
Recommended content-related requirements:
none
Learning content:
Measurements of meteorological quantities, atmospheric trace gases, ocean currents, environmental
radioactivity, absorption cross-sections, measurements of Embedded Systems and Communications.
Learning outcome / Competence:
Participants learn the basics of measurement techniques in Space Sciences and Technologies.
Calculating student workload:
The module comprises lectures and lab work.
Workload:
• Contact hours (lecture): 18 h (6 h x 3 weeks)
• Contact hours (lab): 24 h (2 h x 12 weeks)
• Preparation, reports: 84 h (7 x 12 weeks)
• Preparation for exam: 54 h
Total working hours: 180 h
Language of tuition:
English
Module leader:
N.N.
PD Dr. Annette Ladstätter-Weißenmayer, Dr. A.
Richter, Prof. Dr.-Ing. A. Garcia-Ortiz, Prof. Dr.-Ing.
A. Dekorsy, Prof. Dr.-Ing. A. Förster, Prof. Dr.-Ing. K
Michels
Frequency:
WiSe, SoSe
Duration:
2 semester[s]
The module is valid since:
WiSe 17/18
The module is valid until:
-
Credit points / Workload:
6 / 180 hours
Contact hours:
2 hours
Module examinations
Type of examination: Prüfungsleistung
Examination format:
Submodule examination
Oral examination
29
Module 01-29-03 LSPA
Type of examination: Studienleistung
Examination format:
Submodule examination
Course performance: reports
Module courses
Course: 01-29-03-LSPA-V Space lab lecture and practical
Frequency:
WiSe, SoSe
Are there parallel courses?
no
Language:
English
University teacher(s):
Richter, Andreas, Dr.
Könsgen, Andreas, Dr.
Wübben, Dirk, Dr.-Ing.
Michels, Kai, Prof. Dr.-Ing.
Teaching method(s): Associated module examination:
30
Module 01-01-03 AtA
Module 01-01-03 AtA: Atmospheric AerosolsAtmospheric AerosolsMPO v. 05.04.2017
Module assignment:
• Specialization Areas / Physics for Space
Observation
Recommended content-related requirements:
none
Learning content:
• Description of atmospheric aerosols, their composition and measuring methods
• Introduction to radiative transfer in the troposphere with emphasis on aerosols and clouds
Learning outcome / Competence:
Advanced knowledge of the atmosphere and light scattering
Calculating student workload:
The module comprises two courses: a lecture of 1 semester hour and an exercise of 1 semester hour.
Workload:
• Contact hours (lecture + exercise): 28 h (2 h x 14 weeks)
• Preparation, learning, exercises: 28 h (2 h x 14 weeks)
• Preparation for exam: 34 h
Total working hours: 90 h
Language of tuition:
English
Module leader:
Dr. Marco Vountas
Frequency:
WiSe, once a year
Duration:
The module is valid since:
WiSe 17/18
The module is valid until:
-
Credit points / Workload:
3 / 90 hours
Contact hours:
2 hours
Module examinations
Type of examination: Studienleistung
Examination format: Course performance: Successful assessment of
example classes and/or successful writing of an
essay
Type of examination: Prüfungsleistung
Examination format:
Announcement at the begin of the semester
Written/oral examination
31
Module 01-01-03 AtA
Module courses
Course: 01-01-03-AtA-V Lecture Atmospheric Aerosols
Frequency:
WiSe, once a year
Are there parallel courses?
no
Language:
English
University teacher(s):
Vountas, Marco, Dr.
Teaching method(s): Associated module examination:
Course: 01-01-03-AtA-Ü Exercise Atmospheric Aerosols
Frequency:
WiSe, once a year
Are there parallel courses?
no
Language:
English
University teacher(s):
Vountas, Marco, Dr.
Teaching method(s): Associated module examination:
32
Module 01-01-03 AtCM1
Module 01-01-03 AtCM1: Atmospheric Chemistry ModellingAtmospheric Chemistry ModellingMPO vom 14.02.2018
Module assignment:
• Specialization Areas / Physics for Space
Observation
Recommended content-related requirements:
none
Learning content:
• Concept of chemistry transport models
• Atmospheric Chemical Composition/Processes Model equations and numerical approaches focusing
on the: a) formulation of atmospheric rates, and b) numerical methods for chemical systems
• Surface fluxes/emissions
• Observations and model evaluations
• Inverse modeling for atmospheric chemistry
A list of references will be provided at the start of the semester
Learning outcome / Competence:
Participants will have the chance to:
• get a theoretical overview of the concepts of numerical atmospheric chemistry modelling
• review fundamentals of atmospheric chemistry and physics,
• formulate model equations and numerical (differential) approaches for various systems focusing on
atmospheric chemistry mechanisms and
• assess the role of chemistry transport models as components of the atmospheric observing system.
Concepts of inverse modelling will be also presented.
Calculating student workload:
The module comprises two courses: a lecture of 1 semester hour and an exercise of 1 semester hour.
Workload:
• Attendance (lecture + exercise): 28 h (2 h x 14 weeks)
• Preparation, learning, exercises: 42 h (3 h x 14 weeks)
• Preparation for exam: 20 h
Total working hours: 90 h
Language of tuition:
English
Module leader:
Prof. Dr. Mihalis Vrekoussis
Frequency:
WiSe, once a year
Duration:
The module is valid since:
SoSe 18
The module is valid until:
-
Credit points / Workload:
3 / 90 hours
Contact hours:
2 hours
33
Module 01-01-03 AtCM1
Module examinations
Type of examination: Studienleistung
Examination format:
Submodule examination
Successful assessment of example classes and/or
successful writing of an essay
Type of examination: Prüfungsleistung
Examination format:
Submodule examination
Written/oral examination
Module courses
Course: 01-01-03-AtCM1-V Lecture and Excercise
Atmospheric Chemistry Modelling
Frequency:
WiSe, once a year
Are there parallel courses?
no
Language:
English
University teacher(s):
Vrekoussis, Mihalis, Prof. Dr.
Teaching method(s): Associated module examination:
34
Module 01-29-03 RSOC
Module 01-29-03 RSOC: Remote Sensing of Ocean and CryosphereRemote Sensing of Ocean and CryosphereMPO v. 05.04.2017
Module assignment:
• Specialization Areas / Physics for Space
Observation
Recommended content-related requirements:
none
Learning content:
• Error analysis and statistics
• Techniques for the optimal solution of under and over determined systems of linear equations
including methods for calculating variances and covariances of the solutions
• Concepts of resolution and methods to calculate them
• Practical examples and applications to test data sets from oceanography
• Image processing
• Atmospheric remote sensing
A list of references will be provided at the start of the semester.
Learning outcome / Competence:
Students gain background knowledge in basics and application of remote sensing of sea ice extent and
thickness, sea surface height, winds over the ocean, waves, ocean bottom, surface temperature and
salinity, ocean color and other remote sensing applications for ocean and cryosphere.
Calculating student workload:
The module comprises two courses: a lecture of 2 semester hours and an exercise of 2 semester hours.
Workload:
• Contact hours (lecture + exercise): 56 h (4 h x 14 weeks)
• Preparation, learning, examples: 56 h (4 h x 14 weeks)
• Preparation for exam: 68 h
Total working hours: 180 h
Language of tuition:
English
Module leader:
Prof. Dr. Monika Rhein
Prof. Dr. Astrid Bracher, Dr. Georg Heygster, Dr.
Gunnar Spreen, Prof. Dr. Christian Haas, Prof. Dr.
Ben Marzeion
Frequency:
SoSe, once a year
Duration:
1 semester[s]
The module is valid since:
WiSe 17/18
The module is valid until:
-
Credit points / Workload:
6 / 180 hours
Contact hours:
4 hours
35
Module 01-29-03 RSOC
Module examinations
Type of examination: Prüfungsleistung
Examination format:
Announcement at the begin of the semester
Written/oral examination
Type of examination: Studienleistung
Examination format: Course performance: Successful assessment of
exercise classes
Module courses
Course: 01-29-03-RSOC-V Vorlesung Remote Sensing of the
Ocean and Cryosphere
Frequency:
SoSe, once a year
Are there parallel courses?
no
Language:
English
University teacher(s):
Rhein, Monika, Prof. Dr.
Teaching method(s): Associated module examination:
36
Module 01-15-03 DIDS
Module 01-15-03 DIDS: Architekturen und Entwurfsmethodik integrierter digitalerSystemeArchitectures and Design Methodologies of Integrated Digital SystemsMPO 2013/2015/2017
Module assignment:
• Specialization Areas / Information Technologies
for Space
Recommended content-related requirements:
none
Learning content:
• Design tools and abstractions levels
• Physical design: floorplanning and placement; routing and wire estimation; DRC and LVS
• Design-for-Test: scan-based design, boundary scan; BIST
• Test architectures for SoCs
• Test generation and error diagnosis: ATPG; fault simulation
Learning outcome / Competence:
The students will learn the design methodologies, theoretical algorithms, and tools used for the
development of microelectronic integrated systems, as well as the strategies regarding their practical
implementation with industrial CAD tools. The students will be able to implement a complex microelectronic
integrated digital system guaranteeing its correctness and testability.
Calculating student workload:
The module comprises two courses: a lecture of 2 semester hours and an exercise of 1 semester hour.
• Contact hours (L + EC): 42 h (3 SWH x 14 weeks)
• Preparation, learning and exercises: 28 h (2 h/week x 14 weeks)
• Preparation for exam: 50 h
Total working hours: 120 h
Language of tuition:
English
Module leader:
Prof. Dr.-Ing. Alberto Garcia-Ortiz
Frequency:
SoSe, once a year
Duration:
1 semester[s]
The module is valid since:
WiSe 13/14
The module is valid until:
-
Credit points / Workload:
4 / 120 hours
Contact hours:
3 hours
Module examinations
Type of examination: Modulprüfung
Examination format:
Module examination
Written or oral (90 respectively 30 min)
37
Module 01-15-03 DIDS
Module courses
Course: 01-15-03-DIDS-V Lecture Architectures and Design
Methodologies of Integrated Digital Systems
Frequency:
SoSe, once a year
Are there parallel courses?
no
Language:
English
University teacher(s):
Garcia-Ortiz, Alberto, Prof. Dr.-Ing.
Teaching method(s): Associated module examination:
Course: 01-15-03-DIDS-Ü Exercise Architectures and Design
Methodologies of Integrated Digital Systems
Frequency:
SoSe, once a year
Are there parallel courses?
no
Language:
English
University teacher(s):
Garcia-Ortiz, Alberto, Prof. Dr.-Ing.
Teaching method(s): Associated module examination:
38
Module 01-15-03 MiD
Module 01-15-03 MiD: Microfluidic DevicesMicrofluidic DevicesMPO 2013/2015
Module assignment:
• Specialization Areas / Information Technologies
for Space
Recommended content-related requirements:
none
Learning content:
• Organisation, introduction, basics of microfluidics
• Flow control: valves and pumps
• Sensors and analysis in µfluidic devices
• Technology and packaging
• Design
• Examples of microfluidic devices
A list of references will be provided at the start of the semester.
Learning outcome / Competence:
An overview is given of the developments in the area of microfluidic devices from the early start (where
especially silicon integrated valves and pumps where investigated) to the lab-on-a-chip devices of today.
The functionality of the sensors and actuators, the technologies applied, and the design of fluidic chips
will be discussed. Some basic fluidics aspects will be presented and a practical (LÜ) in which COMSOL is
used for the simulation of microfluidic elements is included. A series of examples of currently investigated
microfluidic devices will be shown, e.g. chips for capillary electrophoresis, cytometry and optofluidics.
After this course, students are able to:
• understand the basics of microfluidics,
• understand and explain the functioning of µfluidic devices,
• apply characterization parameters for (elements of) µfluidic devices,
• understand fabrication technologies for microfluidic devices.
Calculating student workload:
The module comprises two courses: a lecture of 2 semester hours and an exercise of 1 semester hour.
Workload:
• Contact hours : 42 h ( 3 SWH x 14 weeks)
• Preparation: 14 h (1 SWH x 14 weeks)
• Learning and exercises: 24h (2 h/week x 14 weeks)
• Preparation for exam: 40 h
Total working hours: 120 h
Language of tuition:
English
Module leader:
Prof. Dr.-Ing. Michael Vellekoop
Frequency:
SoSe, once a year
Duration:
1 semester[s]
39
Module 01-15-03 MiD
The module is valid since:
WiSe 13/14
The module is valid until:
-
Credit points / Workload:
4 / 120 hours
Contact hours:
3 hours
Module examinations
Type of examination: Modulprüfung
Examination format:
Written examination
Prüfungsleistung
Module courses
Course: 01-15-03-MiD-V Lecture: Microfluidic Devices
Frequency:
SoSe, once a year
Are there parallel courses?
no
Language:
English
University teacher(s):
Vellekoop, Michael, Prof. Dr.-Ing.
Teaching method(s): Associated module examination:
Course: 01-15-03-MiD-Ü Exercise: Microfluidic Devices
Frequency:
SoSe, once a year
Are there parallel courses?
no
Language:
English
University teacher(s):
Vellekoop, Michael, Prof. Dr.-Ing.
Teaching method(s): Associated module examination:
40
Module 01-15-03 RFC
Module 01-15-03 RFC: RF Frontend Devices and CircuitsRF Frontend Devices and CircuitsMPO 2013/2015/2017
Module assignment:
• Specialization Areas / Information Technologies
for Space
Recommended content-related requirements:
none
Learning content:
• Two-port circuits
• Noise in electronic circuits
• Fundamentals of non-linear devices
• RF devices & RF circuits and frontends
A list of references will be provided at the start of the semester.
Learning outcome / Competence:
This course aims at teaching the fundamental working principles of analogue RF frontend devices and
circuits that are the main building blocks of fixed and mobile devices for wireless communications (GSM,
WLAN, UMTS, RFID, etc.) as well as for sensors like radar sensors.
After this course students should understand the basic principles of RF devices like amplifiers, mixers,
oscillators, PLL’s, and frequency synthesizers. The fundamentals of two-port circuits, electronic noise, and
effects of non-linearities are addressed at first. Based on these theoretical parts students should be able
to discuss the pros and cons of different RF frontend architectures and to design first basic analogue RF
frontend circuits
Calculating student workload:
The module comprises two courses: a lecture of 2 semester hours and an exercise of 1 semester hour.
Workload:
• Contact hours (lecture + exercise): 42 h (3 h x 14 weeks)
• Preparation, learning, exercises: 28 h (2 h x 14 weeks)
• Preparation for exam: 50 h
Total working hours: 120 h
Language of tuition:
English
Module leader:
Prof. Dr.-Ing. Martin Schneider
Frequency:
SoSe, once a year
Duration:
1 semester[s]
The module is valid since:
WiSe 13/14
The module is valid until:
-
Credit points / Workload:
4 / 120 hours
Contact hours:
3 hours
41
Module 01-15-03 RFC
Module examinations
Type of examination: Modulprüfung
Examination format:
Written examination
Written exam 120 min.
Module courses
Course: 01-15-03-RFC-V Lecture: RF Frontend Devices and
Circuits
Frequency:
SoSe, once a year
Are there parallel courses?
no
Language:
English
University teacher(s):
Schneider, Martin, Prof. Dr.-Ing.
Teaching method(s): Associated module examination:
Course: 01-15-03-RFC-Ü Exercise: RF Frontend Devices and
Circuits
Frequency:
SoSe, once a year
Are there parallel courses?
no
Language:
English
University teacher(s):
Schneider, Martin, Prof. Dr.-Ing.
Teaching method(s): Associated module examination:
42
Module 01-29-03 PrSpa
Module 01-29-03 PrSpa: ProjectProjectMPO v. 05.04.2017
Module assignment:
• Project & Master's Thesis Space-ST
Recommended content-related requirements:
none
Learning content:
The content is related to the respective area of research of the individual project. The project is carried out
in the laboratories of the Institute of Environmental Physics / Electrical Engineering / Alfred-Wegener-Institut
or at a cooperating institute or entity under individual instruction (practical training).
Preparation of a report / dissertation on a possible research project, which - as a rule - should be closely
related to the topic subsequent Master’s Research Dissertation (Master Thesis).
Learning outcome / Competence:
The students should be able to:
• transfer a scientific problem/question into an experimental and/or theoretical study,
• develop successful strategies for the planning and conducting of scientific studies,
• be able to summarize and present preliminary scientific results in a thesis paper.
Calculating student workload:
Working hours: 360 h
Language of tuition:
English
Module leader:
Prof. Dr. John P. Burrows FRS
Lecturers of Department 1 Physics/Electrical
Engineering
Frequency:
WiSe, SoSe
Duration:
1 semester[s]
The module is valid since:
WiSe 17/18
The module is valid until:
-
Credit points / Workload:
12 / 360 hours
Contact hours:
-
Module examinations
Type of examination: Modulprüfung
Examination format:
Announcement at the begin of the semester
Successful assessment of the project
43
Module 01-29-03 ThsSpa
Module 01-29-03 ThsSpa: Masterarbeit (inkl. Kolloquium)Master's ThesisMPO 05.04.2017
Module assignment:
• Project & Master's Thesis Space-ST
Recommended content-related requirements:
Passing of all the mandatory exams of the module
sections “Compulsory”, “Compulsory Elective” and
the module “project”.
Learning content:
The students learn to:
• transfer a scientific problem/question into an experimental and/or theoretical study,
• develop successful strategies for the planning and conducting of scientific studies,
• conduct a critical evaluation, assessment and discussion of own scientific results,
• summarize and present scientific results in a thesis and in a colloquium.
Learning outcome / Competence:
The students are enabled to transfer a scientific problem/question into an experimental and/or theoretical
study, to develop successful strategies for the planning and conducting of scientific studies and to
summarize and present scientific results.
Calculating student workload:
Working hours: 900 h
Language of tuition:
English
Module leader:
N.N.
Lectureres of Department 1 Physics/Electrical
Engineering
Frequency:
WiSe, SoSe
Duration:
1 semester[s]
The module is valid since:
WiSe 17/18
The module is valid until:
-
Credit points / Workload:
30 / 900 hours
Contact hours:
-
Module examinations
Type of examination: Masterarbeit
Examination format:
Master Thesis, first examiner
1. Gutachter
Type of examination: Kolloquium
Examination format:
Colloquium
Kolloquium
44
Module 01-01-03 BGC
Module 01-01-03 BGC: BiogeochemistryBiogeochemistryMPO v. 05.04.2017
Module assignment:
• Electives Space-ST
Recommended content-related requirements:
none
Learning content:
• Global biochemical cycles of elements
• Important biophysical processes in atmosphere and ocean
• Carbon, methane, nitrogen and water cycles
• Greenhouse gases
A list of references will be provided at the start of the semester.
Learning outcome / Competence:
Advanced biogeochemistry
Calculating student workload:
The module comprises two courses: a lecture of 1 semester hour and an exercise of 1 semester hour.
Workload:
• Contact hours (lecture + exercise): 28 h (2 h x 14 weeks)
• Preparation, learning, exercises: 28 h (2 h x 14 weeks)
• Preparation for exam: 34 h
Total working hours: 90 h
Language of tuition:
English
Module leader:
Dr. Annette Ladstätter-Weißenmayer
Frequency:
SoSe, once a year
Duration:
1 semester[s]
The module is valid since:
WiSe 17/18
The module is valid until:
-
Credit points / Workload:
3 / 90 hours
Contact hours:
2 hours
Module examinations
Type of examination: Studienleistung
Examination format: Course performance: Successful assessment of
example classes and/or successful writing of an
essay
Type of examination: Prüfungsleistung
Examination format:
Announcement at the begin of the semester
Written/oral examination
45
Module 01-01-03 Dyn1
Module 01-01-03 Dyn1: Dynamics IDynamics IMPO 2014/2017
Module assignment:
• Electives Space-ST
Recommended content-related requirements:
none
Learning content:
• Governing equations
• Conservation laws
• Balances
• Circulation and vorticity
• Large-scale circulation
• Planetary boundary layer
• Rossby waves
References:
Holton: An Introduction to Dynamic Meterorology, Elsevier Academic Press
Marshall and Plumb: Atmosphere, Ocean, and Climate Dynamics, An
Wallace and Hobbs, Atmospheric Science: An Introductory Survey, Academic Press
Learning outcome / Competence:
Understanding of the basic dynamical processes in atmosphere and ocean.
Calculating student workload:
The module comprises two courses: a lecture of 2 semester hours and an exercise of 2 semester hour.
Workload:
• Contact hours (lecture + exercise): 56 h (4 h x 14 weeks)
• Preparation, learning, exercises: 56 h (4 h x 14 weeks)
• Preparation for exam: 68 h
Total working hours: 180 h
Language of tuition:
English
Module leader:
Prof. Dr. Thomas Jung
Frequency:
WiSe, once a year
Duration:
1 semester[s]
The module is valid since:
WiSe 14/15
The module is valid until:
-
Credit points / Workload:
6 / 180 hours
Contact hours:
4 hours
46
Module 01-01-03 Dyn1
Module examinations
Type of examination: PrüfungsIeistung
Examination format:
Announcement at the begin of the semester
Written/oral examination
Type of examination: Studienleistung
Examination format:
Announcement at the begin of the semester
Course performance: Successful assessment of
example classes
Module courses
Course: Exercise Dynamics I
Frequency:
WiSe, once a year
Are there parallel courses?
no
Language:
English
University teacher(s):
Jung, Thomas, Prof. Dr.
Teaching method(s):
Tutorial
Associated module examination:
Studienleistung
Course: Lecture Dynamics I
Frequency:
WiSe, once a year
Are there parallel courses?
no
Language:
English
University teacher(s):
Jung, Thomas, Prof. Dr.
Teaching method(s):
Lecture
Associated module examination:
PrüfungsIeistung
47
Module 01-29-03 Eng E
Module 01-29-03 Eng E: Engineering EthicsEngineering EthicsMPO v. 05.04.2017
Module assignment:
• Electives Space-ST
Recommended content-related requirements:
none
Learning content:
• Basic moral concepts
• Basic moral theories and values and their rationale
• Codes of Ethics (examples from Associations and Agencies)
• Case Studies from engineering
• Professional ideals, social and environmental responsibility
A list of references will be provided at the start of the semester.
Learning outcome / Competence:
After the course the students will be able to
• discuss and apply professional codes of ethics;
• distinguish normative from descriptive judgements;
• describe basic norms, values and ethical theories;
• determine conditions of responsibility;
• apply norms and theories to concrete cases in engineering and identify ethical issues at different
stages.
Calculating student workload:
The module comprises one course: a lecture of 1 semester hours and an exercise of 1 semester hour.
Workload:
• Contact hours (lecture + exercise): 28 h (2 h x 14 weeks)
• Preparation, learning, exercises: 28 h (2 h x 14 weeks)
• Preparation of report and exam: 34 h
Total working hours: 90 h
Language of tuition:
English
Module leader:
Prof. Dr. Dagmar Borchers
MA Björn Haferkamp
Frequency:
SoSe, once a year
Duration:
1 semester[s]
The module is valid since:
WiSe 17/18
The module is valid until:
-
Credit points / Workload:
3 / 90 hours
Contact hours:
2 hours
48
Module 01-29-03 Eng E
Module examinations
Type of examination: Studienleistung
Examination format:
Announcement at the begin of the semester
Protokoll
Type of examination: Prüfungsleistung
Examination format:
Oral
Oral Examination
Module courses
Course: 01-29-03-EnE-V Lecture Engineering Ethics
Frequency:
SoSe, once a year
Are there parallel courses?
no
Language:
English
University teacher(s):
Teaching method(s): Associated module examination:
49
Module 01-15-03 InS
Module 01-15-03 InS: Integrierte Schaltungen (Integrated Circuits)Integrated CircuitsMPO 2017
Module assignment:
• Electives Space-ST
Recommended content-related requirements:
Basics of electrical engineering and analog
integrated circuits
Learning content:
• Noise
• gm/Id Method
• Mismatch
• Two-pole opamps (OTA)
• Feedback
A list of references will be provided at the start of the semester.
Learning outcome / Competence:
After this course, students are able to:
• describe and characterize noise in electronics circuits,
• apply the gm/Id sizing method to design amplifier circuits for advance CMOS technologies,
• deal with process variations and mismatch,
• understand the frequency behaviour of amplifier circuits,
• understand and size compensation networks,
• use feedback to modifiy circuit charateristics.
Calculating student workload:
The module comprises two courses: a lecture of 2 semester hours and an exercise of 1 semester hour.
Workload:
• Contact hours (lecture + exercise): 42 h (3 h x 14 weeks)
• Preparation, learning, exercises: 14 h (1 h x 14 weeks)
• Preparation for exam: 34 h
Total working hours: 90 h
Language of tuition:
English
Module leader:
Prof. Dr.-Ing. Steffen Paul
Frequency:
WiSe, once a year
Duration:
1 semester[s]
The module is valid since:
WiSe 17/18
The module is valid until:
-
Credit points / Workload:
3 / 90 hours
Contact hours:
3 hours
50
Module 01-15-03 InS
Module examinations
Type of examination: Modulprüfung
Examination format:
Oral
Oral Examination (30 minutes)
Module courses
Course: 01-15-03-InS-V Lecture: Integrated Circuits
Frequency:
WiSe, once a year
Are there parallel courses?
no
Language:
English
University teacher(s):
Paul, Steffen, Prof. Dr.-Ing.
Teaching method(s): Associated module examination:
Course: 01-15-03-InS-Ü Exercise: Integrated Circuits
Frequency:
WiSe, once a year
Are there parallel courses?
no
Language:
English
University teacher(s):
Paul, Steffen, Prof. Dr.-Ing.
Teaching method(s): Associated module examination:
51
Module 04-M30-CEM-SFI-1
Module 04-M30-CEM-SFI-1: On-Board Data HandlingOn-Board Data HandlingMPO 05.04.2017
Module assignment:
• Electives Space-ST
Recommended content-related requirements:
none
Learning content:
On-Board Data Handling (OBDH) includes all aspects from payload data processing to mission critical
control tasks. The OBDH system can in principle be considered as an embedded system that is subject
to strong requirements with respect to reliability and availability in harsh environments with minimal or no
maintenance.
The lecture considers various aspects from general mission scenarios and their impact on the OBDH
system, examples for typical architecture, techniques for Failure Detection Isolation and Recovery (FDIR)
and approaches for guaranteeing functional correctness of the hardware and/or software. Relevant
standards are introduced.
A coarse table of contents reads as follows:
• Mission scenarios and implications on the OBDH system
• Tasks for OBDH
• Standards for space applications
• Architectures for OBDH system considered as embedded systems
• Hardware and software solutions
• Functional correctness
A list of references will be provided at the start of the semester.
Learning outcome / Competence:
The students should be able to explain typical scenarios for space missions, to understand and derive
mission-specific requirements for the On-Board Data Handling (OBDH) system, to explain relevant
standards, to explain and justify typical test approaches for OBDH systems, to understanding approaches
for Failure Detection Isolation and Recovery (FDIR) and to have the ability to specify an OBDH system.
Calculating student workload:
The module comprises two courses: a lecture of 2 semester hours and an exercise of 1 semester hour.
Workload:
• Contact hours (lecture + exercise): 42 h (3 h x 14 weeks)
• Preparation, learning, exercises: 28 h (2 h x 14 weeks)
• Preparation for exam: 20 h
Total working hours: 90 h
Language of tuition:
English
Module leader:
Dr. Frank Dannemann
Frequency:
SoSe, once a year
Duration:
1 semester[s]
The module is valid since:
WiSe 17/18
The module is valid until:
-
52
Module 04-M30-CEM-SFI-1
Credit points / Workload:
3 / 90 hours
Contact hours:
3 hours
Module examinations
Type of examination: Modulprüfung
Examination format:
Announcement at the begin of the semester
Oral examination
Module courses
Course: 04-M30-CEM-SFI-1 On-Board Data Handling
Frequency:
WiSe, once a year
Are there parallel courses?
no
Language:
English
University teacher(s):
Dannemann, Frank, Dr.
Teaching method(s): Associated module examination:
53
Module 01-01-03 PDAP
Module 01-01-03 PDAP: Practical Data Analysis with PythonPractical Data Analysis with PythonMPO 2014/2017
Module assignment:
• Electives Space-ST
Recommended content-related requirements:
none
Learning content:
The course will touch on the following subjects:
• "But this worked yesterday, before I made some changes ..." or: An introduction to version control.
• Getting started: How to setup your own computer for data analysis in Python.
• Hands-on introduction to the Python scientific ecosystem: Arrays and mathematical operations, using
NumPy.
• Labeled arrays or how to intuitively work with data, using Pandas and xarray.
• Reading and writing data in common file formats.
• Making both meaningful and beautiful plots, using matplotlib.
• Statistical analysis in Python using the SciPy and Statsmodels packages.
• Parameter estimation / regression using SciPy.
• An overview of the most common special-topic libraries for the research areas covered by the
students’ study programmes.
• Working with geoscientific data and plotting maps, using Cartopy and Shapely.
• Other data analysis tasks needed by the students for their study program, upon demand.
References:
• VanderPlas, Jake: Python Data Science Handbook, O’Reilly, 2016 (freely available online at https://
jakevdp.github.io/PythonDataScienceHandbook/)
Learning outcome / Competence:
Upon successful completion of this course, the student will be able to work with scientific data using the
Python scientific programming ecosystem, including the whole scientific data lifecycle (reading data,
statistical analysis, plotting, storing results), following modern scientific programming best practices (e.g.,
version control, reproducibility, documentation, …).
Calculating student workload:
The module comprises two courses: a lecture of 2 semester hours and an exercise of 1 semester hour.
Workload:
• Contact hours (lecture + exercise): 28 h (2 h x 14 weeks)
• Preparation, learning, exercises: 26 h (2 h x 13 weeks)
• Preparation for exam: 36 h
Total working hours: 90 h
Language of tuition:
German
Module leader:
Dr. Andreas HILBOLL
Frequency:
SoSe, once a year
Duration:
1 semester[s]
54
Module 01-01-03 PDAP
The module is valid since:
WiSe 16/17
The module is valid until:
-
Credit points / Workload:
3 / 90 hours
Contact hours:
2 hours
Module examinations
Type of examination: Studienleistung
Examination format: Course performance: Successful assessment of
example classes and/or successful writing of an
essay
Type of examination: PrüfungsIeistung
Examination format:
Seminar paper
Homework projects (graded)
Module courses
Course: 01-01-03-PDAP-V Lecture and Exercise: Practical
Data Analysis with Python
Frequency:
SoSe, once a year
Are there parallel courses?
no
Language:
English
University teacher(s):
HILBOLL, Andreas, Dr.
Teaching method(s): Associated module examination:
55
Module 01-01-03 StEA
Module 01-01-03 StEA: Statistics and Error AnalysisStatistics and Error AnalysisMPO 2014/2017
Module assignment:
• Electives Space-ST
Recommended content-related requirements:
none
Learning content:
• Random variables
• Probability
• Density and distribution functions
• Expectation values
• Covariance and correlation
• Error propagation
• Statistical tests
A list of references will be provided at the start of the semester.
Learning outcome / Competence:
Introduction to statistics, error calculation and data analysis
Calculating student workload:
The module comprises two courses: a lecture of 1 semester hours and an exercise of 1 semester hour.
Workload:
• Contact hours (lecture + exercise): 28 h (2 h x 14 weeks)
• Preparation, learning, exercises: 28 h (2 h x 14 weeks)
• Preparation for exam: 34 h
Total working hours: 90 h
Language of tuition:
English
Module leader:
apl. Prof. Reiner Schlitzer
Frequency:
SoSe, once a year
Duration:
1 semester[s]
The module is valid since:
WiSe 14/15
The module is valid until:
-
Credit points / Workload:
3 / 90 hours
Contact hours:
2 hours
Module examinations
Type of examination: PrüfungsIeistung
Examination format:
Announcement at the begin of the semester
Written/oral examination
56
Module 01-01-03 StEA
Type of examination: Studienleitung
Examination format:
Announcement at the begin of the semester
Course performance: Successful assessment of
example classes and/or successful writing of an
essay
Module courses
Course: Exercise Statistics and Error Analysis
Frequency:
SoSe, once a year
Are there parallel courses?
no
Language:
English
University teacher(s):
Schlitzer, Reiner, apl. Prof.
Teaching method(s):
Tutorial
Associated module examination:
Studienleitung
Course: Lecture Statistics and Error Analysis
Frequency:
SoSe, once a year
Are there parallel courses?
no
Language:
English
University teacher(s):
Schlitzer, Reiner, apl. Prof.
Teaching method(s):
Lecture
Associated module examination:
PrüfungsIeistung
57
Module 01-15-03 WCom
Module 01-15-03 WCom: Wireless CommunicationsWireless CommunicationsMPO 2017
Module assignment:
• Electives Space-ST
Recommended content-related requirements:
Lecture "Communication Technologies", Basics of
communications technologies, stochastic (digital)
signal processing, system theory
Learning content:
• Mobile Radio Channels: Power Delay Profile, Doppler Spectrum, Jakes-Spectrum, Channel Modelling,
Rayleigh-Fading/Rician Channels
• Multi-Carrier Transmission: Basics, Ambiguity-Function, F/T-Grid, Principles of CP-OFDM, Detectors
for CP-OFDM, PAPR/Crest Factor, Out-of-Band radiation, LTE
• CDMA: Principles, spreading sequence design system models, Single-User Machted Filter Bank,
Rake Receiver, Multi-User Detection (MF, LS, MMSE), Radio System principles
• MIMO: Principles and system model, spatial duplexing, BLAST
A list of references will be provided at the start of the semester.
Learning outcome / Competence:
After this course, the students will have a basic knowledge on wireless communications with the ability to
design modern communication systems. In particular, they should be able to:
• model mobile radio channels, apply their expertise to perform analysis of digital wireless transmission;
• apply knowledge on the design of modern solutions for mobiles (OFDM, CDMA, MIMO):
• combine existing Matlab-Modules for the simulation of mobile communication systems.
Calculating student workload:
The module comprises two courses: a lecture of 2 semester hours and an exercise of 1 semester hour.
Workload:
• Contact hours (lecture + exercise): 42 h (3 h x 14 weeks)
• Preparation, learning, exercises: 28 h (2 h x 14 weeks)
• Preparation for exam: 20 h
Total working hours: 90 h
Language of tuition:
English
Module leader:
Prof.Dr.-Ing. Armin Dekorsy
Frequency:
SoSe, once a year
Duration:
1 semester[s]
The module is valid since:
WiSe 17/18
The module is valid until:
-
Credit points / Workload:
3 / 90 hours
Contact hours:
3 hours
58
Module 01-15-03 WCom
Module examinations
Type of examination: Modulprüfung
Examination format:
Written examination
Written examination
Module courses
Course: 01-15-03-WCom-V Lecture Wireless
Communications
Frequency:
SoSe, once a year
Are there parallel courses?
no
Language:
English
University teacher(s):
Dekorsy, Armin, Prof.Dr.-Ing.
Teaching method(s): Associated module examination:
Course: 01-15-03-WCom-Ü Exercise Wireless
Communications
Frequency:
SoSe, once a year
Are there parallel courses?
no
Language:
English
University teacher(s):
Dekorsy, Armin, Prof.Dr.-Ing.
Teaching method(s): Associated module examination:
59